Correlation Between Philippine Savings and Acesite Hotel
Can any of the company-specific risk be diversified away by investing in both Philippine Savings and Acesite Hotel at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Philippine Savings and Acesite Hotel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Philippine Savings Bank and Acesite Hotel Corp, you can compare the effects of market volatilities on Philippine Savings and Acesite Hotel and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Philippine Savings with a short position of Acesite Hotel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Philippine Savings and Acesite Hotel.
Diversification Opportunities for Philippine Savings and Acesite Hotel
-0.33 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Philippine and Acesite is -0.33. Overlapping area represents the amount of risk that can be diversified away by holding Philippine Savings Bank and Acesite Hotel Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Acesite Hotel Corp and Philippine Savings is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Philippine Savings Bank are associated (or correlated) with Acesite Hotel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Acesite Hotel Corp has no effect on the direction of Philippine Savings i.e., Philippine Savings and Acesite Hotel go up and down completely randomly.
Pair Corralation between Philippine Savings and Acesite Hotel
Assuming the 90 days trading horizon Philippine Savings Bank is expected to generate 0.25 times more return on investment than Acesite Hotel. However, Philippine Savings Bank is 3.96 times less risky than Acesite Hotel. It trades about 0.0 of its potential returns per unit of risk. Acesite Hotel Corp is currently generating about -0.12 per unit of risk. If you would invest 5,890 in Philippine Savings Bank on October 20, 2024 and sell it today you would lose (55.00) from holding Philippine Savings Bank or give up 0.93% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 40.0% |
Values | Daily Returns |
Philippine Savings Bank vs. Acesite Hotel Corp
Performance |
Timeline |
Philippine Savings Bank |
Acesite Hotel Corp |
Philippine Savings and Acesite Hotel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Philippine Savings and Acesite Hotel
The main advantage of trading using opposite Philippine Savings and Acesite Hotel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Philippine Savings position performs unexpectedly, Acesite Hotel can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Acesite Hotel will offset losses from the drop in Acesite Hotel's long position.Philippine Savings vs. Top Frontier Investment | Philippine Savings vs. Integrated Micro Electronics | Philippine Savings vs. Manila Mining Corp | Philippine Savings vs. Metro Retail Stores |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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